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摘要:
太赫兹近场多输入多输出合成孔径雷达(MIMO-SAR)技术具有在保证分辨率同时降低阵元数量的优势,在人体安检中有重要的研究和应用价值。该文首先介绍了应用在人体安检领域的太赫兹近场MIMO-SAR技术系统现状,将典型系统进行了归纳和对比;其次介绍阵列设计,对典型面阵列的指标特性进行了仿真对比;介绍典型的成像算法和加速方法,比较成像算法的图像重构速度。最后对发展进行了展望。
Abstract:Terahertz near field MIMO-SAR technology has advantage of reducing the number of arrays while ensuring resolution, thus it has important application in human security inspection. This paper firstly introduces the application of terahertz near field MIMO-SAR technology in human body security inspection, then introduces the system composition, imaging algorithm, and finally makes a prospect of development.
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Overview: As growing violent and terrorist incidents are endangering people, security inspection in the public becomes increasingly important. The sparse linear array multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) based system, taking into consideration the high resolution of images and the low complexity of the system, is one of the new human body security inspection imaging technologies. This paper mainly introduces the application of MIMO SAR in human body security inspection based on the investigation and analysis of current status and development of domestic and foreign studies on active millimeter-wave/terahertz-wave imaging technologies. Four frameworks are introduced, including single-input single-output (SISO) imaging systems, one dimensional MIMO-SAR with mirror imaging systems, one dimension MIMO-SAR with one dimension SAR imaging systems, and two dimension MIMO imaging systems. Then, the MIMO sparse line array is introduced. The main design idea of the system with MIMO line array is to combine a frequency modulated MIMO line array with an orthogonal synthetic aperture generated by the linear movement of the object under test, such as a conveyor. An array of transmitters illuminates the human with concealed weapon and an array of receivers records the back-scattered radiation coherently. Four kinds of MIMO sparse plane arrays are introduced, including tetragonum array, cross array, square array, and T array. The MIMO sparse plane arrays are designed with 16Tx and 16Rx, then, their performances are compared. Thirdly, signal processing basics and three efficient computational 3D imaging algorithms are presented, including back-projection (BP), fast-factorized back-projection (FFBP), and range migration algorithm (RMA). Those imaging algorithms can be implemented for parallel processing on a graphics processing unit for accelerating the image generation. The BP and FFBP kernels profit strongly from the parallelization since they perform the same computational operation for each voxel. Therefore, the volume reconstruction is mainly achieved through assigning each thread of the graphics processing unit to a voxel. The RMA algorithm also benefit from accelerated execution of the fast Fourier transform algorithm on the graphics processing unit without parallelization. In addition, three different imaging algorithms are compared in regard to their computational efficiency. Finally, this paper makes a prospect of development. In recent years, the THz basic devices in China have made great progress and performances have been steadily improved, which has promoted the rapid development of THz radar system. Although the THz MIMO-SAR system structure is clear for the human body security inspection, but there are still some basic and engineering problems to be overcome, such as: radar chip with integrated array, faster imaging algorithm, a method to extract the echo characteristics and information of hidden objects from multiple view angles. The THz near-field MIMO-SAR technology is still a hot spot in the THz radar and is important for the human security inspection and also need to be further in-depth study for promoting its important application in the field of military and civilian.
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表 1 国内外毫米波/太赫兹安检系统汇总对比
Table 1. Summary of millimeter wave/terahertz security system
成像体制 研究机构 频率/GHz 带宽/GHz 方位分辨率/mm 作用距离/m 多发多收一维机械线扫描体制 德国法兰克福 300 72 ≤20 10 欧盟第7框架计划 360 40 ≤10 4 中科院电子所 220 15 ≤10 1 多发多收二维电子扫描全息成像体制 R & S公司 75 10 2 ≤1 美国MIT 27 16 ≤5 ≤1 多发多收一维机械线扫描全息成像体制 凯泽斯劳滕大学 110 10 ≤2 ≤1 中物院微太中心 140 5 ≤2 ≤1 表 2 阵列性能比较
Table 2. Comparison of array performances
阵列类型 目标点位置/m 主瓣宽度/mm 峰值旁瓣比/dB 积分旁瓣比/dB X Y Z X Z X Z X Z 口字阵列 0.0 0.5 0.0 2.4 2.4 23 23 3 3 0.0 0.5 0.2 2.7 2.9 24 23 14 16 十字形 0.0 0.5 0.0 2.4 2.4 22 22 3 3 0.0 0.5 0.2 2.7 2.4 23 22 11 15 方块阵列 0.0 0.5 0.0 2.4 2.4 22 22 3 3 0.0 0.5 0.2 2.7 2.4 23 22 10 14 T形阵列 0.0 0.5 0.0 2.4 2.4 22 22 4 6 0.0 0.5 0.2 2.5 2.7 23 22 11 11 -
[1] 王宏强, 邓彬, 秦玉亮.太赫兹雷达技术[J].雷达学报, 2018, 7(1): 1-21. http://d.old.wanfangdata.com.cn/Periodical/ldxb201801001
Wang H Q, Deng B, Qin Y L. Review of terahertz radar technology[J]. Journal of Radars, 2018, 7(1): 1-21. http://d.old.wanfangdata.com.cn/Periodical/ldxb201801001
[2] 林昌禄.天线工程手册[M].北京:电子工业出版社, 2002.
Lin C L. Antenna Engineering Manual[M]. Beijing: Electronic Industry Press, 2002.
[3] 孟藏珍, 许稼, 谭贤四, 等. MIMO-SAR成像技术发展机遇与挑战[J].太赫兹科学与电子信息学报, 2015, 13(3): 423-430. http://d.old.wanfangdata.com.cn/Periodical/xxydzgc201503014
Meng C Z, Xu J, Tan X S, et al. Development opportunities and challenges of MIMO-SAR imaging technology[J]. Journal of Terahertz Science and Electronic Information Technology, 2015, 13(3): 423-430. http://d.old.wanfangdata.com.cn/Periodical/xxydzgc201503014
[4] Appleby R, Wallace H B. Standoff detection of weapons and contraband in the 100 GHz to 1 THz region[J]. IEEE Transactions on Antennas and Propagation, 2007, 55(11): 2944-2956. doi: 10.1109/TAP.2007.908543
[5] 高敬坤, 邓彬, 秦玉亮, 等.扫描MIMO阵列近场三维成像技术[J].雷达学报, 2018, 7(6): 676-684. http://d.old.wanfangdata.com.cn/Periodical/ldxb201806004
Gao J K, Deng B, Qin Y L, et al. Near-field 3D SAR imaging techniques using a scanning MIMO array[J]. Journal of Radars, 2018, 7(6): 676-684. http://d.old.wanfangdata.com.cn/Periodical/ldxb201806004
[6] 保铮, 邢孟道, 王彤.雷达成像技术[M].北京:电子工业出版社, 2005.
Bao Z, Xing M D, Wang T. Radar Imaging Technology[M]. Beijing: Electronic Industry Press, 2005.
[7] Cooper K B, Dengler R J, Llombart N, et al. THz imaging radar for standoff personnel screening[J]. IEEE Transactions on Terahertz Science and Technology, 2011, 1(1): 169-182. doi: 10.1109/TTHZ.2011.2159556
[8] Alexander N E, Alderman B, Allona F, et al. TeraSCREEN: multi-frequency multi-mode terahertz screening for border checks[J]. Proceedings of SPIE, 2014, 9078: 907802. http://d.old.wanfangdata.com.cn/NSTLQK/NSTL_QKJJ0225634527/
[9] 崔振茂, 高敬坤, 陆彬, 等. 340 GHz稀疏MIMO阵列实时3-D成像系统[J].红外与毫米波学报, 2017, 36(1): 102-106. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hwyhmb201701018
Cui Z M, Gao J K, Lu B, et al. Real time 3D imaging system based on sparse MIMO array at 340 GHz[J]. Journal of Infrared and Millimeter Waves, 2017, 36(1): 102-106. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=hwyhmb201701018
[10] Ahmed S S, Schiessl A, Schmidt L P. A novel fully electronic active real-time imager based on a planar multistatic sparse array[J]. IEEE Transactions on Microwave Theory and Techniques, 2011, 59(12): 3567-3576. doi: 10.1109/TMTT.2011.2172812
[11] Moulder W F, Krieger J D, Majewski J J, et al. Development of a high-throughput microwave imaging system for concealed weapons detection[C]//Proceedings of 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST), Waltham, MA, USA, 2016.
https://ieeexplore.ieee.org/document/7832573/ [12] 赵宇姣, 成彬彬, 刘杰, 等.基于毫米波近场成像的二维稀疏面阵结构[J].系统工程与电子技术, 2018, 40(9): 1926-1930. http://d.old.wanfangdata.com.cn/Periodical/xtgcydzjs201809005
Zhao Y J, Cheng B B, Liu J, et al. Two-dimensional sparse array topology for millimeter-wave near-field imaging[J]. Systems Engineering and Electronics, 2018, 40(9): 1926-1930. http://d.old.wanfangdata.com.cn/Periodical/xtgcydzjs201809005
[13] Johnson D H, Dudgeon D E. Array Signal Processing: Concepts and Techniques[M]. Englewood Cliffs, NJ: P T R Prentice Hall, 1993.
[14] Lockwood G R, Li P C, O'Donnell M, et al. Optimizing the radiation pattern of sparse periodic linear arrays[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1996, 43(1): 7-14. doi: 10.1109/58.484457
[15] Schwartz J L, Steinberg B D. Ultrasparse, ultrawideband arrays[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1998, 45(2): 376-393. doi: 10.1109/58.660149
[16] South F A, Liu Y Z, Carney P S, et al. Computed optical interferometric imaging: methods, achievements, and challenges[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2016, 22(3): 6800911. http://cn.bing.com/academic/profile?id=81b176c2f548698158002517b5a114c9&encoded=0&v=paper_preview&mkt=zh-cn
[17] Steinberg B D. Digital beamforming in ultrasound[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 1992, 39(6): 716-721. doi: 10.1109/58.165556
[18] Baccouche B, Agostini P, Mohammadzadeh S, et al. Three-dimensional terahertz imaging with sparse multistatic line arrays[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2017, 23(4): 8501411. http://cn.bing.com/academic/profile?id=3391baf3bee23ee1893f0659d8656460&encoded=0&v=paper_preview&mkt=zh-cn
[19] 葛桐羽, 经文, 赵磊, 等.毫米波多输入多输出雷达稀疏阵列近场成像[J].强激光与粒子束, 2016, 28(11): 113101. doi: 10.11884/HPLPB201628.160142
Ge T Y, Jin W, Zhao L, et al. Sparse array in near-field millimeter-wave multiple-input multiple-output radar imaging system[J]. High Power Laser and Particle Beams, 2016, 28(11): 113101. doi: 10.11884/HPLPB201628.160142
[20] Zhu R Q, Zhou J X, Jiang G, et al. Range migration algorithm for near-field MIMO-SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(12): 2280-2284. doi: 10.1109/LGRS.2017.2761838
[21] Zhu R Q, Zhou J X, Tang L, et al. Frequency-domain imaging algorithm for single-input-multiple-output array[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12): 1747-1751. doi: 10.1109/LGRS.2016.2602442
[22] Baccouche B, Agostini P, Mohammadzadeh S, et al. Three-dimensional terahertz imaging with sparse multistatic line arrays[J]. IEEE Journal of Selected Topics in Quantum Electronics, 2017, 23(4): 8501411. http://cn.bing.com/academic/profile?id=3391baf3bee23ee1893f0659d8656460&encoded=0&v=paper_preview&mkt=zh-cn
[23] 赵磊, 黄昆, 郝鑫, 等.近场雷达成像非均匀稀疏阵设计[J].太赫兹科学与电子信息学报, 2017, 15(5): 707-710. http://d.old.wanfangdata.com.cn/Periodical/xxydzgc201705003
Zhao L, Huang K, Hao X, et al. Non-uniform sparse array design in near field radar imaging[J]. Journal of Terahertz Science and Electronic Information Technology, 2017, 15(5): 707-710. http://d.old.wanfangdata.com.cn/Periodical/xxydzgc201705003
[24] 李道京, 侯颖妮, 滕秀敏, 等.稀疏阵列天线雷达技术及其应用[M].北京:科学出版社, 2014.
Li D J, Hou Y N, Teng X M, et al. Thin Sparse Array Antenna Radar Technology and Its Application[M]. Beijing: Science Press, 2014.
[25] Ahmed S S, Schiessl A, Gumbmann F, et al. Advanced microwave imaging[J]. IEEE Microwave Magazine, 2012, 13(6): 26-43. doi: 10.1109/MMM.2012.2205772
[26] Zhuge X D, Yarovoy A G. A sparse aperture MIMO-SAR-based UWB imaging system for concealed weapon detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1): 509-518. doi: 10.1109/TGRS.2010.2053038
[27] 王怀军, 黄春琳, 陆珉, 等. MIMO雷达反向投影成像算法[J].系统工程与电子技术, 2010, 32(8): 1567-1573. doi: 10.3969/j.issn.1001-506X.2010.08.03
Wang H J, Huang C L, Lu M, et al. Back projection imaging algorithm for MIMO radar[J]. Systems Engineering and Electronics, 2010, 32(8): 1567-1573. doi: 10.3969/j.issn.1001-506X.2010.08.03
[28] Ulander L M H, Hellsten H, Stenstrom G. Synthetic-aperture radar processing using fast factorized back-projection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(3): 760-776. doi: 10.1109/TAES.2003.1238734
[29] Moll J, Schops P, Krozer V. Towards three-dimensional millimeter-wave radar with the Bistatic fast-factorized back-projection algorithm—potential and limitations[J]. IEEE Transactions on Terahertz Science and Technology, 2012, 2(4): 432-440. doi: 10.1109/TTHZ.2012.2199113
[30] 林世斌, 李悦丽, 严少石, 等.基于最优区域划分的子块快速因子分解后向投影算法[J].信号处理, 2012, 28(8): 1187-1193. doi: 10.3969/j.issn.1003-0530.2012.08.018
Lin S B, Li Y L, Yan S S, et al. An sub-image fast factorized back projection algorithm based on optimal regional partition[J]. Signal Processing, 2012, 28(8): 1187-1193. doi: 10.3969/j.issn.1003-0530.2012.08.018
[31] Lopez-Sanchez J M, Fortuny-Guasch J. 3-D radar imaging using range migration techniques[J]. IEEE Transactions on Antennas and Propagation, 2000, 48(5): 728-737. doi: 10.1109/8.855491
[32] Baccouche B, Keil A, Kahl M, et al. A sparse array based sub-terahertz imaging system for volume inspection[C]//Proceedings of 2015 European Microwave Conference, Paris, France, 2015.
https://ieeexplore.ieee.org/document/7345794/